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Solutions Architect Semantic Layer & Microsoft Fabric Practice

TekWissen LLC

  • Frisco, TX
  • 4 days ago
  • $72.38

Highlights

Our client provider of digital technology and transformation, information technology and services Position: Solutions Architect Semantic Layer & Microsoft Fabric Practice Location: Bellevue WA / Frisco, TX Duration: 6 Months Job Type: Temporary Assignment Work Type: Hybrid Job Description: This role develops and owns end-to-end solution design strategies for the enterprise Semantic Layer program, built on Microsoft Fabric and Power BI. 25% Tool Integration: BI Platforms, Anthropic & Downstream Consumers Architect interoperability between Microsoft Fabric semantic models and downstream consumption tools including third-party BI platforms (Tableau, Qlik Sense, MicroStrategy, Grafana, and others), Anthropic-based AI/LLM applications (Claude), and Excel.

Numbers & Facts

LocationFrisco, TX
IndustryComputer/IT Services
Salary$72.38
Company Size100 to 499 employees
Year Founded2009
Websitehttp://www.tekwissen.com/

Description

Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services
Position: Solutions Architect Semantic Layer & Microsoft Fabric Practice
Location:Bellevue WA / Frisco, TX
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Hybrid
Job Description:
  • This role develops and owns end-to-end solution design strategies for the enterprise Semantic Layer program, built on Microsoft Fabric and Power BI.
  • The Solutions Architect leads semantic model design across business workstreams ensuring models are governed, certified, and compliant with SOX and enterprise data standards.
  • The role bridges technical implementation (Microsoft Fabric, Power BI, third-party BI platforms, and Anthropic/AI tooling) with stakeholder alignment across Finance, Operations, Marketing, and Technology.
  • Success is measured by the delivery of certified, trusted semantic models that enable self-service analytics across the organization.
  • The work directly enables data-driven decision-making by establishing a governed, reusable, and interoperable semantic layer.
Main Responsibilities:
  • Responsibility % of Time Semantic Model Architecture & Workstream Enablement Design, build, and own semantic models in Microsoft Fabric (Direct Lake, composite models, and import mode) for each business workstream including Finance, Operations, Marketing, HR, and Technology.
  • Establish workstream-specific model standards, certified dataset patterns, and reusable measure libraries. 30% Governance, Certification & SOX Compliance Define and enforce semantic layer governance frameworks including dataset certification workflows, row-level security (RLS), object-level security (OLS), and sensitivity label policies.
  • Partner with Audit and Finance to ensure SOX-compliant lineage, access controls, and change management processes for financial reporting models. 25% Tool Integration: BI Platforms, Anthropic & Downstream Consumers Architect interoperability between Microsoft Fabric semantic models and downstream consumption tools including third-party BI platforms (Tableau, Qlik Sense, MicroStrategy, Grafana, and others), Anthropic-based AI/LLM applications (Claude), and Excel.
  • Define connectivity patterns, query optimization strategies, and security passthrough standards for each integration channel. 20% Stakeholder Alignment & Technical Advisory Engage workstream leads, data owners, and senior management to translate business requirements into semantic model designs.
  • Lead architectural trade-off discussions and present options for data modeling approaches (star schema, composite models, aggregation tables).
  • Serve as the primary point of escalation for semantic layer design decisions. 15% Other Duties Other duties/projects as assigned by business management.
Experience Required Preferred:
  • Bachelor's Degree 7+ years related experience, or equivalent combination. Acceptable fields: Computer Science, IT, Computer Engineering, Data Engineering, or related.
  • Required & Preferred Experience Years Experience Required Preferred 7-10 yrs Progressive experience in enterprise data architecture, analytics engineering, or BI platform leadership.
  • 7-10 yrs Hands-on experience with Microsoft Fabric including Lakehouses, Direct Lake semantic models, Dataflows Gen2, Data Pipelines, and the Fabric OneLake architecture.
Mandatory Areas: Data Solution Architecture, Semantic Layer & Microsoft Fabric:
  • Must have Skills MS Fabric, Semantic Layer, PowerBI, Semantic Model Architecture
  • Skill 1 7Yrs of Exp MS Fabric, Semantic Layer, Spark, SQL
  • Skill 2 7Yrs of Exp SQL
  • Skill 3 5Yrs of Exp in IT Python, Azure, AI/ML
TekWissen Group is an equal opportunity employer supporting workforce diversity.
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About Company

WE THE TEKWISSEN PEOPLE

TekWissen offers you a broader portfolio of services, industry-leading solutions, and the meaningful innovations that give you greater flexibility and speed to respond to market dynamics, reduced costs and risk to improve enterprise performance, and increased productivity to enable growth.

To keep pace with global market demands, TekWissen keeps its finger on the pulse of change. Our organized approach to guiding a project from its inception to closure. Managing projects is becoming more and more important as we enter the digital era. To cope with the pace that this transition demands, a method is required to manage projects so they can yield quality work, while incorporating efficient use of time and resources.

Project involves identifying which quality standards are relevant to the project and determining how to satisfy them.

It is important to perform quality planning during the Planning Process and should be done alongside the other project planning processes because changes in the quality will likely require changes in the other planning processes, or the desired product quality may require a detailed risk analysis of an identified problem. It is important to remember that quality should be planned, designed, then built in, not added on after the fact.

Capabilities and accomplishments in one TekWissen business enhance the opportunity for success in the others. Put simply, TekWissen's unique combination of attributes promotes success.



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